Regional Business Intelligence Manager, DCSS Communities
We are seeking a Regional Business Intelligence Manager to work with various stakeholder groups to procure data center capacity, support long-term scaling strategies for AWS's infrastructure regions, and manage a portfolio of critical infrastructure agreements.
About the Role
As a Regional Business Intelligence Manager, you will research and manage all areas of transaction deal flow related to data center procurement projects in the region, for both Colocation and Real Estate.
Key Responsibilities
* Leverage advanced data science skills to prepare transaction business cases, forecast project costs, and partner with internal teams to submit business cases for leadership review.
* Assist with site selection process, strategy development, data analysis across the region.
* Ensure data integrity in supply planning and execution systems related to infrastructure supply options including cost, capacity, key dates, and contractual terms.
* Managing and manipulating complex data sets utilizing multiple analytical tools.
* Develop and oversee the implementation of continual process improvement initiatives related to operational efficiency, team effectiveness, and new value-added activities.
* Apply analytics and business intelligence skills to extract meaningful insights and learnings from large and complicated data sets.
* Build rich data visualizations to tell the story of trends, patterns, and outliers.
* Test and challenge assumptions around DCSS scenario planning, sensitivity analysis, supply/demand planning, business size, and profitability – making recommendations for supply health and supportability activities or improvements to existing structures and frameworks.
* Design automated BI solutions for recurrent reporting (daily/weekly/monthly).
* Design data pipelines and automated processes which enable in-depth analysis.
* Publish, analyze, and improve dashboards, operational business metrics decks, and key performance indicators.
* Building automation models for our long-term and mid-term capacity planning processes.
* Develop key processes relating to business intelligence and supply matters.
* Support training of all supply-related tooling, key processes, and modeling.
* Able to incorporate Artificial intelligence (AI) programs to drive automation and build further efficiency in the organization.
About Us
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers.
Requirements
* Previous experience in Supply and demand planning, analytics, data engineering, or business intelligence.
* Experience using SQL, Python, or scripting language, ETL, and databases in a business environment with large-scale, complex datasets.
* Experience with data visualization, sensitivity analysis, scenario planning activities, etc. (PyPlot, Tableau, Salesforce, AWS QuickSight, or similar tools).
* Experience writing SQL scripts, queries, and stored procedures to extract data.
* Experience conducting deep dive analyses of business problems; identifying root cause of business trends, formulating conclusions, and recommendations.
Preferred Qualifications
* Experience as a Business Intelligence Engineer, Data Engineer, Business Analyst, Data Scientist, or equivalent.
* Experience gathering business requirements, using industry-standard business intelligence tool(s) to extract data, formulate metrics, and build reports.
* Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development, and evaluation data sets.
* Bachelor's degree in Computer Science, Economics, Engineering, Mathematics, Statistics, Supply/planning, or related technical field.